6B.2 Incorporating Dual-Polarization Signatures into the Tornado Warning Process for Supercells: ZDR/KDP Separation and Size Sorting Signals

Tuesday, 8 January 2019: 1:45 PM
North 232C (Phoenix Convention Center - West and North Buildings)
Michael L. Jurewicz Sr., NOAA/NWS Weather Forecast Office, Johnson City, NY; and C. M. Gitro, M. R. Kumjian, and M. M. French

Previous field studies investigated the possibility of utilizing the dual-polarization radar fields of differential reflectivity (ZDR) and specific differential phase (KDP) to help discriminate between tornadic and non-tornadic storms. The main strategy evaluated the character of preferential drop size sorting to infer trends in storm-scale shear. Later research demonstrated through use of idealized numerical simulations that hydrometeor size sorting is not fundamental to wind shear, but rather to the storm-relative flow itself. It was also noted that, when using the degree of drop size sorting as a proxy (particularly) in supercell environments, storm-relative flow and lower tropospheric storm-relative helicity are likely well correlated. As such, it is hypothesized that in supercell environments patterns of ZDR and KDP can identify important trends in storm-relative flow and storm-relative helicity, thereby helping to diagnose a storm’s tornadic potential.

In an attempt to leverage study results and test hypotheses outlined above, a number of tornadic and non-tornadic supercell cases were evaluated. While previous field studies were conducted in specific geographical regions of the United States, this study has looked at a broad array of cases east of the Rocky Mountains, in an effort to find a unified, geographically independent approach to using dual-polarization radar fields for better discrimination between tornadic and non-tornadic storms. Applicable findings center on separation characteristics between ZDR areal maxima in the ZDR arc region and KDP areal maxima within the KDP foot.

Initial attempts, as well as future projections, to incorporate study results into National Weather Service warning operations will also be discussed.

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